CRAN/E | mrbsizeR

mrbsizeR

Scale Space Multiresolution Analysis of Random Signals

Installation

About

A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used. The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction. (2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found. (3) Posterior credibility analysis of the differences of smooths created. The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) doi:10.1016/j.csda.2011.04.011 and extended in Flury, Gerber, Schmid and Furrer (2021) doi:10.1016/j.spasta.2020.100483.

github.com/romanflury/mrbsizeR
romanflury.github.io/mrbsizeR/
Bug report File report

Key Metrics

Version 1.3
R ≥ 3.0.0
Published 2024-02-14 44 days ago
Needs compilation? yes
License GPL-2
CRAN checks mrbsizeR results

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Maintainer

Maintainer

Roman Flury

roman.flury@math.uzh.ch

Authors

Thimo Schuster

aut

Roman Flury

cre / aut

Leena Pasanen

ctb

Reinhard Furrer

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

'mrbsizeR': Scale space multiresolution analysis in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mrbsizeR archive

Depends

R ≥ 3.0.0
maps ≥ 3.1.1

Imports

fields ≥ 8.10
stats ≥ 3.0.0
grDevices ≥ 3.0.0
graphics ≥ 3.0.0
methods ≥ 3.0.0
Rcpp ≥ 0.12.14

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LinkingTo

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